| Input (x) | Output (y) | Application |
|---|---|---|
| Home features | Price | Real Estate |
| Ad, user info | Click on an Ad? (0/1) | Online Advertising |
| Image | Object (1, …, 10) | Photo tagging |
| Image, Radar info | Position of other cars | Autonomous driving |
| Audio | Text transcript | Speech recognition |
| English | Chinese | Machine translation |
| Voice | Voice | Human computer conversation |
If you have 10 filters that are \(3 \times 3 \times 3\) in one layer of a neural network, how many parameters does that layer have?
If layer \(l\) is a convolution layer:
Output: \(n^{[l]}_H \times n^{[l]}_W \times n^{[l]}_C\)